• Bharath Kumar R
• Ameyatma Godkhindi Dixit
• Darshan Gaonkar
• Mrs. Divya Shree H B

Machine learning and Artificial intelligence predict human behaviour patterns and provide an appropriate response in any given situation. As the world becomes increasingly automated, we find ourselves with a plethora of stimuli to choose from. People commonly use facial expressions to express their emotions. Music has always been known to change people's moods. In this paper, we focus on harnessing the power of AI to detect our mood by our facial expression and play a sound track associated with the emotion we are feeling. As we all know, music is a great way to acknowledge our emotions. With this paper, the expression made by us is detected and an appropriate song or music track is played. The main idea behind this paper is to automatically play audio tracks based on the user's emotions. The working is based on the detection of human emotion through the estimation of human expression. An input user image is fed to the system, the face detection and face computation are done by the image processing algorithm. By detecting the facial expression of the user, the algorithm the taps into the song data set from which it extracts a song corresponding to the given facial expression and starts playing that track. In existing systems, the user has to manually select songs, which is a cumbersome process and it may also not match the user’s mood. Capturing and recognising a person's emotion and playing appropriate songs that match their mood can gently calm their mind and produce a pleasing effect.

Face Detection, Emotions, Training, Testing, Facial Expression Recognition, Audio Recognition, Detection, Viola-Jones Algorithm, Music Player.

"EMOTION DETECTION FOR AUDIO PLAYBACK USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.f249-f254, May-2022, Available :http://www.jetir.org/papers/JETIR2205640.pdf

"EMOTION DETECTION FOR AUDIO PLAYBACK USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppf249-f254, May-2022, Available at : http://www.jetir.org/papers/JETIR2205640.pdf